Science Score: 20.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
✓Committers with academic emails
2 of 6 committers (33.3%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.6%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: bionicdl-sustech
- Language: Python
- Default Branch: master
- Size: 202 MB
Statistics
- Stars: 13
- Watchers: 2
- Forks: 5
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
The DeepClaw Benchmark
The DeepClaw is a benchmarking model zoo that functions as a Reconfigurable Robotic Manipulation System for Robot Learning. The main homepage can be found at here. This is the GitHub repository of DeepClaw source code, including instructions for installing and using DeepClaw.
Resources
- Documentation: https://bionicdl-sustech.github.io/DeepClawBenchmark/
- Paper explaining DeepClaw: arXiv:2005.02588 [cs.RO]
- Papers using DeepClaw:
Code Organization
The DeepClaw code is organized as follows:
configs/ configuration for robotic station for manipulation tasks.
deepclaw/drivers/ drivers for various robotic hardware, i.e. ur, franka, aubo.
deepclaw/models/ model zoo for segmentation, classification, pick planning, and motion planning.
deepclaw/utils/ server setup with dockers and client setup for laptops (x86) and jetson (arm).
projects/proj_TrashSorting a sample project to run deepclaw for sorting trash.
datasets/trash description of trash sorting dataset
docs/ description of this document as a manual.
data/trash data on trash sorting
Bibliography
@misc{wan2020deepclaw,
title={DeepClaw: A Robotic Hardware Benchmarking Platform for Learning Object Manipulation},
author={Fang Wan and Haokun Wang and Xiaobo Liu and Linhan Yang and Chaoyang Song},
year={2020},
eprint={2005.02588},
archivePrefix={arXiv},
primaryClass={cs.RO}
}
Owner
- Name: BionicDL@SUSTech
- Login: bionicdl-sustech
- Kind: organization
- Email: songcy@ieee.org
- Location: Shenzhen, China
- Website: ancorasir.com
- Repositories: 7
- Profile: https://github.com/bionicdl-sustech
Bionic Design + Learning Lab
GitHub Events
Total
Last Year
Committers
Last synced: almost 3 years ago
Top Committers
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 0
- Total pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: 11 minutes
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- lxb1989 (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 7 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 3
- Total maintainers: 1
pypi.org: deepclaw
a reconfigurable benchmark of robotic hardware and task hierarchy for robot learning
- Homepage: https://bionicdl-sustech.github.io/DeepClawBenchmark/_build/html/index.html
- Documentation: https://deepclaw.readthedocs.io/
- License: MIT License
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Latest release: 1.0.2
published over 6 years ago
Rankings
Maintainers (1)
Dependencies
- PyYAML ==5.3.1
- matplotlib ==3.2.1
- numpy ==1.18.2
- opencv_contrib_python ==4.1.2.30
- pyrealsense2 ==2.34.0.1470
- scipy ==1.4.1
- tqdm ==4.46.0